Editors’ Statement on the Responsible Use of Generative AI Technologies in Scholarly Journal Publishing
Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethic...
| Authors: | ; ; ; ; ; ; ; ; |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Wiley
2023
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| In: |
The Hastings Center report
Year: 2023, Volume: 53, Issue: 5, Pages: 3-6 |
| Further subjects: | B
Humanities
B community of scholars B Transparency B generative AI B ChatGPT B Accountability B Bioethics B large language models B journal publishing |
| Online Access: |
Volltext (kostenfrei) Volltext (kostenfrei) |
| Summary: | Generative artificial intelligence (AI) has the potential to transform many aspects of scholarly publishing. Authors, peer reviewers, and editors might use AI in a variety of ways, and those uses might augment their existing work or might instead be intended to replace it. We are editors of bioethics and humanities journals who have been contemplating the implications of this ongoing transformation. We believe that generative AI may pose a threat to the goals that animate our work but could also be valuable for achieving those goals. In the interests of fostering a wider conversation about how generative AI may be used, we have developed a preliminary set of recommendations for its use in scholarly publishing. We hope that the recommendations and rationales set out here will help the scholarly community navigate toward a deeper understanding of the strengths, limits, and challenges of AI for responsible scholarly work. |
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| ISSN: | 1552-146X |
| Reference: | Errata "Errata (2023)"
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| Contains: | Enthalten in: Hastings Center, The Hastings Center report
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| Persistent identifiers: | DOI: 10.1002/hast.1507 |